• Investigative Magnetic Resonance Imaging
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• 제21권1호
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• pp.9-19
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• 2017

Background: Normalized cerebral blood volume (nCBV) can be measured using manual or semiautomatic segmentation method. However, the difference in diagnostic performance on brain tumor differentiation between differently measured nCBV has not been evaluated. Purpose: To compare the diagnostic performance of manually obtained nCBV to that of semiautomatically obtained nCBV on glioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) differentiation. Materials and Methods: Histopathologically confirmed forty GBM and eleven PCNSL patients underwent 3T MR imaging with dynamic susceptibility contrast-enhanced perfusion MR imaging before any treatment or biopsy. Based on the contrast-enhanced T1-weighted imaging, the mean nCBV (mCBV) was measured using the manual method (manual mCBV), random regions of interest (ROIs) placement by the observer, or the semiautomatic segmentation method (semiautomatic mCBV). The volume of enhancing portion of the tumor was also measured during semiautomatic segmentation process. T-test, ROC curve analysis, Fisher's exact test and multivariate regression analysis were performed to compare the value and evaluate the diagnostic performance of each parameter. Results: GBM showed a higher enhancing volume (P = 0.0307), a higher manual mCBV (P = 0.018) and a higher semiautomatic mCBV (P = 0.0111) than that of the PCNSL. Semiautomatic mCBV had the highest value (0.815) for the area under the curve (AUC), however, the AUCs of the three parameters were not significantly different from each other. The semiautomatic mCBV was the best independent predictor for the GBM and PCNSL differential diagnosis according to the stepwise multiple regression analysis. Conclusion: We found that the semiautomatic mCBV could be a better predictor than the manual mCBV for the GBM and PCNSL differentiation. We believe that the semiautomatic segmentation method can contribute to the advancement of perfusion based brain tumor evaluation.

• Investigative Magnetic Resonance Imaging
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• 제11권2호
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• pp.103-109
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• 2007

목적: 정상인의 뇌영역의 동적 자화율 대조도 (dynamic susceptibility contrast)에서 새로운 비선형 곡선조화 알고리즘을 사용한 Gd-DTPA의 비투과성 (non-permeability)을 조사하고자 한다. 대상 및 방법: 전반적인 혈관내의 이동에 대한 전달함수($K^{trans}$)에 대하여 첫 번째 통과된 조합변수인자의 화소에 대한 정량적인 분석을 실시하였다. 정확한 복셀값의 산출을 위하여 개선된 알고리즘에 의한 경계값을 적용하여 최적화 과정을 반복수행하였다. 결과: 비선형 곡선조화 알고리즘을 적용함으로서, 뇌혈류와 뇌혈류량 측정은 $T2^*$-강조 dynamic contrast enhanced (DCE)에서 상당히 개선 되었다. 재산출된 인자들로부터 뇌관류 강조영상의 형성은 수정된 비선형 곡선조화 알고리즘을 사용하여 획득하였다. 가상공간의 계산과 데이터 입력은 $T2^*$-강조 DCE 영상에서 조영제 포화도를 산출하였다. 결론: 본 연구에서 개발한 새로운 비선형 곡선조화 알고리즘을 사용하여 DCE-$T2^*$ 강조 자기공명영상 데이터를 얻은 후에 역동학적 인자들의 정확성 및 효율성을 개선시키는데 도움을 주는 것으로 확인되었다.

• Investigative Magnetic Resonance Imaging
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• 제26권1호
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• pp.1-9
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• 2022

Artificial intelligence (AI) powered by deep learning (DL) has shown remarkable progress in image recognition tasks. Over the past decade, AI has proven its feasibility for applications in medical imaging. Various aspects of clinical practice in neuroimaging can be improved with the help of AI. For example, AI can aid in detecting brain metastases, predicting treatment response of brain tumors, generating a parametric map of dynamic contrast-enhanced MRI, and enhancing radiomics research by extracting salient features from input images. In addition, image quality can be improved via AI-based image reconstruction or motion artifact reduction. In this review, we summarize recent clinical applications of DL in various aspects of neuroimaging.

• Journal of Yeungnam Medical Science
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• 제37권2호
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• pp.90-97
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• 2020

Background: To minimize damage to the ovarian reserve, it is necessary to evaluate the follicular density in the ovarian tissue surrounding endometriosis on preoperative imaging. The purpose of the present study was to evaluate the usefulness of subtraction pelvic magnetic resonance imaging (MRI) to detect ovarian reserve. Methods: A subtracted T1-weighted image (^subT1WI) was obtained by subtracting unenhanced T1WI from contrast-enhanced T1WI (^ceT1WI) with similar parameters in 22 patients with ovarian endometriosis. The signal-to-noise ratio (SNR) in ovarian endometriosis, which was classified into the high signal intensity and iso-to-low signal intensity groups on the T2-weighted image, was compared to that in normal ovarian tissue. To evaluate the effect of contrast enhancement, a standardization map was obtained by dividing ^subT1WI by ^ceT1WI. Results: On visual assessment of 22 patients with ovarian endometriosis, 16 patients showed a high signal intensity, and 6 patients showed an iso-to-low signal intensity on T1WI. Although SNR in endometriosis with a high signal intensity was higher than that with an iso-to-low signal intensity, there was no difference in SNR after the subtraction (13.72±77.55 vs. 63.03±43.90, p=0.126). The area of the affected ovary was smaller than that of the normal ovary (121.10±22.48 vs. 380.51±75.87 ㎟, p=0.002), but the mean number of pixels in the viable remaining tissue of the affected ovary was similar to that of the normal ovary (0.53±0.09 vs. 0.47±0.09, p=0.682). Conclusion: The subtraction technique used with pelvic MRI could reveal the extent of endometrial invasion of the normal ovarian tissue and viable remnant ovarian tissue.

• 대한자기공명의과학회:학술대회논문집
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• 대한자기공명의과학회 2001년도 제6차 학술대회 초록집
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• pp.136-136
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• 2001

Purpose： Subclavian steal refers to the retrograde flow of blood in a vertebral artery that supplies t ipsilateral shoulder and arm caused by proximal subclavian artery stenosis or occlusion. T purpose of this exhibit is to demonstrate MR findings of subclavian steal on contrast-enhanc 3D (CE 3DMRA) and 2D TOF MR angiography. Method： Four patients(men 3 and women 1, age： 28-78years) with subclavian steal obtained both CE 3DMRA and digital subtraction angiography(DSA) including subclavian arterie Sequential imaging was undertaken during first pass after double dose of Gd-DTPA (0 mM/kg) Injected by a power injector. Coronal source images were obtained with coronal D-fast low angle shot sequence(TR/TE/flip angle=3.8/l.3/35, acquisition time= 10sec/one measurement). Precontrast imaging was subtracted from enhanced images and maximu intensity projection was done. 2D time-of-flight MR angiography(2D TOF) of the carot bifurcation was added in all cases with post-saturation. All studies were review retrospectively.

• 대한자기공명의과학회:학술대회논문집
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• 대한자기공명의과학회 2002년도 제7차 학술대회 초록집
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• pp.135-135
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• 2002

Purpose： To assess diagnostic accuracy of dynamic contrast enhanced MR mammography in differentiating between benign and malignant lesions. Materials and methods： Ninety-three patients with suspicious mammographic, sonographic or palpable findings underwent pre- or postoperative contrast-enhanced MR imaging of breast using three dimensional fast low-angle shot (3D FLASH) sequence (16/4 msec［repetition time / echo time］, 20 flip angle, 3mm slice thickness with no slice gap, 256 by 256 in-plane matrix) covering whole breasts. T1 weighted images were obtained before and after bolus administration of gadopentetate dimeglumine (0.15 mmol/kg). Subtraction images and time-signal intensity curves of region of interest were obtained sequentially and correlated with pathologic diagnoses of lesions.

• 대한영상의학회지
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• 제84권1호
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• pp.75-91
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• 2023

전립선영상 판독과 자료체계 버전 2.1에서는 다중 매개 자기공명영상(multiparametric MRI; 이하 mpMRI)을 사용하는 버전 2의 기술적인 변수와 영상 판독 기준이 개정되었다. 이러한 변화를 통해 전립선암 평가의 발전이 예상지만, 어떤 사항들은 아직까지 해결되지 않았고 새로운 문제점들이 부각되고 있다. 본 종설에서는 전립선영상 판독과 자료체계 2.1 버전의 간단한 개요와 새롭게 부상하는 다음과 같은 문제들에 대해 비판적인 관점에서 논의하고자 한다: mpMRI의 보다 자세한 프로토콜에 대한 필요, 개정된 이행부 판독기준에 대한 검증 부족, 개정된 확산강조영상 및 조영 증강 영상 판독기준, anterior fibromuscular stroma, 중심부 평가, 주변부 신호 및 종양 공격성, 구조화된 판독문 변화에 대한 명료화의 필요, 영상 품질과 수행능력 제어에 대한 필요 및 기타 적응증을 포함하도록 시스템 확장을 위한 적응증.

• Investigative Magnetic Resonance Imaging
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• 제25권2호
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• pp.118-128
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• 2021

Purpose: To investigate the value of MR textural analysis, including use of diffusion-weighted imaging (DWI) to differentiate malignant from benign soft-tissue tumors on 3T MRI. Materials and Methods: We enrolled 69 patients (25 men, 44 women, ages 18 to 84 years) with pathologically confirmed soft-tissue tumors (29 benign, 40 malignant) who underwent pre-treatment 3T-MRI. We calculated MR texture, including mean, standard deviation (SD), skewness, kurtosis, mean of positive pixels (MPP), and entropy, according to different spatial-scale factors (SSF, 0, 2, 4, 6) on axial T1- and T2-weighted images (T1WI, T2WI), contrast-enhanced T1WI (CE-T1WI), high b-value DWI (800 sec/mm²), and apparent diffusion coefficient (ADC) map. We used the Mann-Whitney U test, logistic regression, and area under the receiver operating characteristic curve (AUC) for statistical analysis. Results: Malignant soft-tissue tumors had significantly lower mean values of DWI, ADC, T2WI and CE-T1WI, MPP of ADC, and CE-T1WI, but significantly higher kurtosis of DWI, T1WI, and CE-T1WI, and entropy of DWI, ADC, and T2WI than did benign tumors (P < 0.050). In multivariate logistic regression, the mean ADC value (SSF, 6) and kurtosis of CE-T1WI (SSF, 4) were independently associated with malignancy (P ≤ 0.009). A multivariate model of MR features worked well for diagnosis of malignant soft-tissue tumors (AUC, 0.909). Conclusion: Accurate diagnosis could be obtained using MR textural analysis with DWI and CE-T1WI in differentiating benign from malignant soft-tissue tumors.

• Investigative Magnetic Resonance Imaging
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• 제18권1호
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• pp.17-24
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• 2014

목적: 측면연수경색 환자의 두개내 척추동맥 및 뒤아래소뇌동맥 평가에 있어 고해상도 조영증강 삼차원 회손기울기에 코 회상영상의 역할 규명하고자 한다. 대상과 방법: 임상시험심사위원회에서 승인한 측면연수경색으로 확진된 25명의 환자를 대상으로 하였다. 모든 환자는 3T 자기공명 영상을 이용한 고해상도 조영증강 삼차원 회손기울기에코 회상영상과 조영증강 자기공명 혈관조영술을 받았다. 두 명의 영상의학과 의사는 환자의 임상정보와 확산강조영상 없이 두개내 척추동맥 및 뒤아래소뇌동맥에 있는 동맥병변을 평가하였다. 두개내 척추동맥과 뒤아래소뇌동맥의 병변 동반유무에 따라 임상정보와 측면연수경색의 넓이, 소뇌경색 동반여부를 비교하였다. 결과: 총 25명의 환자 중 22명의 환자가 고해상도 조영증강 삼차원 회손기울기에코 회상영상으로 두개내 척추동맥 및 뒤아래소뇌동맥에서 박리, 죽종, 혈전색전증을 보였다. 그러나 그 중 12개의 뒤아래소뇌동맥의 병변은 조영증강 자기공명 혈관조영술에서 보이지 않았다. 추가적인 소뇌경색은 두개내 척추동맥과 뒤아래소뇌동맥에 병변이 있을 경우 두개내 척추동맥에만 병변이 있는 경우보다 빈번하게 나타났다. 결론: 고해상도 조영증강 삼차원 회손기울기에코 회상영상은 측면연수경색 환자의 두개내 척추동맥 및 뒤아래소뇌동맥의 병변평가에 도움을 줄 수 있다.

• Korean Journal of Radiology
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• 제22권3호
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• pp.354-365
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• 2021

Objective: To investigate the diagnostic performance of contrast-enhanced ultrasound (CEUS) and its role as a second-line imaging modality after gadoxetate-enhanced MRI (Gd-EOB-MRI) in the diagnosis of hepatocellular carcinoma (HCC) among at risk observations. Materials and Methods: We prospectively enrolled participants at risk of HCC with treatment-naïve solid hepatic observations (≥ 1 cm) of Liver Imaging Reporting and Data System (LR)-3/4/5/M during surveillance and performed Gd-EOB-MRI. A total of one hundred and three participants with 103 hepatic observations (mean size, 28.2 ± 24.5 mm; HCCs [n = 79], non-HCC malignancies [n = 15], benign [n = 9]; diagnosed by pathology [n = 57], or noninvasive method [n = 46]) were included in this study. The participants underwent CEUS with sulfur hexafluoride. Arterial phase hyperenhancement (APHE) and washout on Gd-EOB-MRI and CEUS were evaluated. The distinctive washout in CEUS was defined as mild washout 60 seconds after contrast injection. The diagnostic ability of Gd-EOB-MRI and of CEUS as a second-line modality for HCC were determined according to the European Association for the Study of the Liver (EASL) and the Korean Liver Cancer Association and National Cancer Center (KLCA-NCC) guidelines. The diagnostic abilities of both imaging modalities were compared using the McNemar's test. Results: The sensitivity of CEUS (60.8%) was lower than that of Gd-EOB-MRI (72.2%, p = 0.06 by EASL; 86.1%, p < 0.01 by KLCA-NCC); however, the specificity was 100%. By performing CEUS on the inconclusive observations in Gd-EOB-MRI, HCCs without APHE (n = 10) or washout (n = 12) on Gd-EOB-MRI further presented APHE (80.0%, 8/10) or distinctive washout (66.7%, 8/12) on CEUS, and more HCCs were diagnosed than with Gd-EOB-MRI alone (sensitivity: 72.2% vs. 83.5% by EASL, p < 0.01; 86.1% vs. 91.1% by KCLA-NCC, p = 0.04). There were no false-positive cases for HCC on CEUS. Conclusion: The addition of CEUS to Gd-EOB-MRI as a second-line diagnostic modality increases the frequency of HCC diagnosis without changing the specificities.